Files
playwrite/db/production_order_query.py
Misaka_Company c9e68a2bf0 fix: handle large dataset queries and type conversion
- Add batch processing to production order query to handle SQL Server's 2100 parameter limit
- Fix material name column index from Q to R column
- Add string type conversion to prevent TypeError in material matching

Co-Authored-By: Claude Sonnet 4.5 <noreply@anthropic.com>
2026-02-05 11:28:33 +08:00

59 lines
1.6 KiB
Python

"""
生产订单号查询组件
从 ProductionID.txt 读取总排号,查询数据库获取生产订单号
"""
from db.connection import get_connection
def read_production_ids(file_path):
"""
读取 ProductionID.txt 文件,获取总排号列表
Args:
file_path: ProductionID.txt 文件路径
Returns:
总排号列表
"""
with open(file_path, 'r', encoding='utf-8') as f:
# 去除空白行和空格
production_ids = [line.strip() for line in f if line.strip()]
return production_ids
def query_production_order_numbers(production_ids):
"""
根据总排号列表,从数据库查询生产订单号
Args:
production_ids: 总排号列表
Returns:
生产订单号列表
"""
if not production_ids:
return []
# SQL Server 限制每个查询最多 2100 个参数
BATCH_SIZE = 2000
all_results = []
# 分批查询
for i in range(0, len(production_ids), BATCH_SIZE):
batch = production_ids[i:i + BATCH_SIZE]
placeholders = ','.join(['?' for _ in batch])
query = f"""
SELECT [生产订单号]
FROM [productionContractData].[26年压力表合同数据]
WHERE [总排号] IN ({placeholders})
"""
with get_connection() as conn:
results = conn.execute_query(query, tuple(batch))
# 提取生产订单号并去除空值
batch_numbers = [row['生产订单号'] for row in results if row['生产订单号']]
all_results.extend(batch_numbers)
return all_results